Role description

MLOps Engineer

ML Engineer I

UST is searching for an MLOps Engineer with experience with ML lifecycle management and deployment automation.

The opportunity:
• Automate model training, testing, deployment, and monitoring workflows.
• Implement model versioning, experiment tracking, and model registry solutions.
• Monitor model performance, drift, and operational health in production environments.
• Collaborate with Data Engineers, and DevOps teams to operationalize ML solutions.
• Establish governance, security, access control, and auditability processes for ML platforms.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:
• Strong Python programming skills.
• Hands-on expertise with: o MLflow o Kubeflow o Amazon SageMaker o AWS Step functions o ECS (Elastic Container Services)
• Knowledge of Docker and Kubernetes.
• Experience with CI/CD tools and DevSecOps practices.
• Familiarity with Terraform, CloudFormation, or similar IaC tools.
• Understanding of model monitoring, observability, and performance optimization.
• Preferred Skills
• Hands on experience with AWS.
• Knowledge or hands on experience of Agentcore.
• Knowledge of data engineering tools such as Databricks, Spark, Airflow, Kafka, or Snowflake.
• Understanding of Responsible AI, model governance, and compliance requirements.
• Exposure to Generative AI, LLMOps, and RAG-based solutions.
• Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Experience taking ML/AI solutions from Proof of Concept (PoC) to Production.
• Strong problem-solving and stakeholder management skills.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Remote-US

Compensation Range: $72,000-$108,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

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